Cumulative effects assessment and EIA follow-up: a proposed community-based monitoring program in the Oil Sands Region, northeastern Alberta
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The Mikisew Cree First Nation (MCFN) intervened at the regulatory hearings for two recently proposed Oil Sands developments because of concerns relating to cumulative environmental effects to the water resource. A gap analysis conducted by IEG of current monitoring initiatives indicated that the MCFN requested more changes to monitoring processes (such as meaningful input, transparency, authenticity) than to monitoring initiatives (such as additional groundwater monitoring). A community-based monitoring program based on Environment Canada's nationally recognized Canadian Community Monitoring Network model was recommended. Ultimately the use of this approach to follow-up will begin to reflect the value base of all area residents, making the data more trusted in overall management decisions concerning cumulative effects. Judicial processes launched by First Nations against development corporations often involve cumulative effects management. A cumulative effects protocol is briefly outlined that seeks to remediate common concerns. Keywords: monitoringFirst Nationscommunitycumulative effectsOil Sandswaterterrestrial
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it